CENG 465
Principles of Data-Intensive Systems
The main aim of this course is to familiarize students with fundamental ideas behind a broad variety of data systems. The students will be able to compare diverse approaches, techniques, and tools for storing and processing data so that they can discuss the strengths and weaknesses of each and decide the most suitable one for their applications.
Data models and query languages; storage and retrieval; replication and partitioning in distributed data; transactions; challenges of distributed systems, consistency, and consensus in distributed systems; batch and stream processing.
Introduction to Data-Intensive Systems |
Data Models and Query Languages |
Data Models and Query Languages |
Data Storage and Retrieval |
Data Encoding |
Distributed Data Partitioning |
Distributed Data Partitioning |
Transactions in Single-Node and Distributed Databases |
Transactions in Single-Node and Distributed Databases |
Challenges of Distributed Systems |
Fault-Tolerant Distributed Systems |
Batch Processing |
Stream Processing |
The Future of Data Systems |
Other Fourth Year Courses
- CENG 400
- CENG 411
- CENG 415
- CENG 416
- CENG 418
- CENG 421
- CENG 422
- CENG 424
- CENG 431
- CENG 432
- CENG 433
- CENG 434
- CENG 435
- CENG 436
- CENG 437
- CENG 441
- CENG 442
- CENG 443
- CENG 444
- CENG 451
- CENG 452
- CENG 461
- CENG 462
- CENG 463
- CENG 464
- CENG 471
- CENG 472
- CENG 473
- CENG 481
- CENG 482
- CENG 483
- CENG 484
- CENG 485
- CENG 486
- CENG 487
- CENG 488